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DOI: 10.4121/6aded155-99fe-44c3-880d-690ded500ccc

Karlsson, Rickard (2025): Code repository for Ph.D. dissertation "Safe causal inference: Statistical algorithms for falsification and assumption-lean learning of treatment effects". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/6aded155-99fe-44c3-880d-690ded500ccc.v1

Categories

• Artificial Intelligence and Image Processing
• Statistics
• Mathematical Sciences
• Information and Computing Sciences

Keywords

causality computer science machine learning statistics

Time coverage

01/09/2025

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Rickard Karlsson

Collection of source code implementing methods and for reproducing experiments included in each chapter of the Ph.D. dissertation "Safe causal inference: Statistical algorithms for falsification and assumption-lean learning of treatment effects". The source code also includes methods for generating simulated datasets used in the evaluation of the methods. The goal of the of the research was to develop methods to improve treatment effect estimation, this includes: methods to detect unmeasured confounding from observational data, methods to integrate historical data into randomized experiments to improve data efficiency, methods to evaluate treatment policies under treatment interference.

History

• 2025-11-03 first online, published, posted

Publisher

4TU.ResearchData

Format

.py, .R, .csv

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Pattern Recognition and Bioinformatics